Objective To establish an individualized nomogram model and evaluate its efficacy to provide a possible evaluation basis for the prognosis of lower third and abdominal part of oesophageal adenocarcinoma (EAC). Methods Lower third and abdominal part of EAC patients from 2010 to 2015 were chosen from the SEER Research Plus Database (17 Regs, 2022nov sub). The patients were randomly allocated to the training cohort and the internal validation cohort with a ratio of 7∶3 using bootstrap resampling. The Cox proportional hazards regression analysis was used to determine significant contributors to overall survival (OS) in EAC patients, which would be elected to construct the nomogram prediction model. C-index, calibration curve and receiver operating characteristic (ROC) curve were performed to evaluate its efficacy. Finally, the efficacy to evaluate the OS of EAC patients was compared between the nomogram prediction model and TNM staging system. Results In total, 3945 patients with lower third and abdominal part of EAC were enrolled, including 3475 males and 470 females with a median age of 65 (57-72) years. The 2761 patients were allocated to the training cohort and the remaining 1184 patients to the internal validation cohort. In the training and the internal validation cohorts, the C-index of the nomogram model was 0.705 and 0.713, respectively. Meanwhile, the calibration curve also suggested that the nomogram model had a strong capability of predicting 1-, 3-, and 5-year OS rates of EAC patients. The nomogram also had a higher efficacy than the TNM staging system in predicting 1-, 3-, and 5-year OS rates of EAC patients. Conclusion This nomogram prediction model has a high efficiency for predicting OS in the patients with lower third and abdominal part of EAC, which is higher than that of the current TNM staging system.

ObjectiveTo explore the mechanism of herbal cake-separated moxibustion using the classical formula Xiaoyaosan in alleviating neuroimmune inflammatory responses in chronic fatigue syndrome （CFS） rats， based on the regulation of the toll-like receptor 4 （TLR4）/myeloid differentiation factor 88 （MyD88）/nuclear transcription factor-κB （NF-κB） signaling pathway. MethodsFifty SPF-grade SD rats aged 6-8 weeks were randomly divided into five groups： Normal group， model group， sham herbal cake moxibustion group， Chinese medicine intragastric administration group， and herbal cake-separated moxibustion group， with 10 rats in each group. Except for the normal group， all other groups underwent a 21-day modeling process， followed by behavioral testing. The herbal cake-separated moxibustion and sham herbal cake moxibustion groups received interventions at the Shenque （CV8）， Guanyuan （CV4）， Zusanli （ST36）， and Qimen （LR14） acupoints. The Chinese medicine intragastric administration group was treated with a Xiaoyaosan suspension via gavage. Behavioral tests were conducted after 10 days of continuous intervention. Serum levels of interleukin （IL）-1β， IL-6， and tumor necrosis factor-α （TNF-α）， as well as hippocampal levels of IL-1β， IL-6， TNF-α， and NF-κB， were detected by enzyme-linked immunosorbent assay （ELISA）. Morphological changes in the hippocampus were observed using hematoxylin-eosin （HE） staining. Real-time quantitative polymerase chain reaction （Real-time PCR） was used to detect mRNA expression levels of TLR4， MyD88， and NF-κB in the hippocampus. Western blot analysis was performed to detect the relative expression levels of TLR4， MyD88， NF-κB， and p65 proteins in the hippocampus. ResultsCompared with the normal group， the model group showed a significant decrease in upright times during the open field test （P<0.01）， as well as significant reductions in total movement distance， resting time， and center region duration （P<0.01）. In the tail suspension test， immobility time increased （P<0.01）， and struggle times decreased （P<0.01）. Serum and hippocampal levels of IL-1β， IL-6， and TNF-α， as well as hippocampal NF-κB levels and TLR4， MyD88， and NF-κB mRNA expression， were significantly elevated （P<0.01）. After treatment， compared with the model group， the total movement distance and upright times in the open field test were significantly increased in all treatment groups （P<0.01）， while resting time and center region duration were notably prolonged （P<0.05， P<0.01）. Immobility time in the tail suspension test was significantly shortened （P<0.01）， and struggle times significantly increased （P<0.05）. Serum and hippocampal levels of IL-1β， IL-6， TNF-α， hippocampal NF-κB levels， and TLR4 and NF-κB mRNA expression were significantly reduced （P<0.05， P<0.01）. Compared with the sham herbal cake moxibustion group， the herbal cake-separated moxibustion group showed a significant extension in center region duration during the open field test （P<0.05） and a significant increase in upright times （P<0.01）. In the tail suspension test， immobility time was reduced （P<0.01）， and struggle times increased （P<0.01）. Serum TNF-α levels in the Chinese medicine intragastric administration group were significantly reduced （P<0.01）， while serum IL-6 levels， as well as hippocampal levels of IL-1β， TNF-α， NF-κB， and TLR4， MyD88， and NF-κB mRNA expression， were significantly decreased in both the Chinese medicine intragastric administration group and the herbal cake-separated moxibustion group （P<0.05， P<0.01）. Compared with the Chinese medicine intragastric administration group， the herbal cake-separated moxibustion group exhibited significantly increased upright times in the open field test （P<0.01）. In the tail suspension test， immobility time was reduced （P<0.01）， and struggle times increased （P<0.01）. Serum IL-1β， hippocampal TNF-α levels， and TLR4， MyD88， and NF-κB mRNA expression were significantly decreased （P<0.05， P<0.01）. ConclusionHerbal cake-separated moxibustion effectively improves fatigue and memory function in CFS rats， regulates neuroimmune inflammatory responses， and its mechanism may be related to the modulation of the TLR4/MyD88/NF-κB signaling pathway.

BACKGROUND:Immunosuppression leads to impaired body immune function and aggravates the disease.Herb-partitioned moxibustion can effectively regulate immune function and improve immunity in the body,but its regulatory mechanism has not been elucidated. OBJECTIVE:To sequence immunosuppressed model rats treated with herb-partitioned moxibustion using bioinformatics techniques based on transcriptomics and to explore the mechanisms by which it regulates immunity. METHODS:Twenty-four Sprague-Dawley rats were randomly assigned to three groups:control,model,and herb-partitioned moxibustion groups,with eight rats in each group.The model and herb-partitioned moxibustion groups were subjected to establishment of an immune suppression model by intraperitoneal injection of cyclophosphamide at a dose of 35 mg/kg for 3 consecutive days.No interventions were administered to the control and model groups after modeling.In contrast,the herb-partitioned moxibustion group received moxibustion treatment at Zhongwan,Shenque,Guanyuan,and Zusanli acupoints using a combination of moxa and herbal cakes,once a day,for 10 consecutive days,with samples being collected the day after the end of the intervention.Peripheral blood was collected from all groups of rats to measure their white blood cell count.RNA-seq was performed on the Illumina sequencing platform,and differentially expressed genes were selected for bioinformatics analysis using the GO and KEGG databases. RESULTS AND CONCLUSION:Compared with the control group,the model group exhibited a significant decrease in white blood cell count(P<0.001).RNA-seq analysis identified 3 026 differentially expressed genes between the model and control groups,with 1 565 upregulated and 1 461 downregulated.There were 535 differentially expressed genes identified between the herb-partitioned moxibustion group and the model group,with 280 upregulated and 255 downregulated.The Venn diagram analysis revealed that 159 genes were downregulated in the model group compared with the control group.However,after moxibustion with herbal cakes,these genes were upregulated.Protein-protein interaction network analysis identified 10 core targets,including Oasl,Oas2,Isg15,Herc6,Mx2,Helz2,Mx1,Syk,Hspa1a,and Ret.According to GO and KEGG analyses,moxibustion with herbal cakes regulated the body through pathways related to immune response,viruses,angiogenesis,and the autoimmune system.To conclude,there is a significant association between herbal cake-separated moxibustion intervention and immune suppression targets,including Oasl,Oas2,Isg15,Herc6,Mx2,Helz2,and Mx1.The intervention exhibits regulatory effects in the pathways related to immune responses,viral activities,and angiogenesis.

Objective To evaluate the efficacy and safety of biomaterial sling in the treatment of female stress urinary incontinence (SUI), so as to explore the possibility of replacing traditional synthetic materials with biomaterials in SUI surgery. Methods Clinical data of 22 SUI patients undergoing retropubic mid-urethral sling surgery in our hospital during Jan.and Dec.2023 were retrospectively collected. Perioperative parameters were analyzed, and all patients were followed up for more than one year. The quality of life was assessed using the incontinence impact questionnaire-short form-7 (IIQSF-7), numerical rating scale (NRS), and urogenital distress inventory-short form-6 (UDI-6). Results All 22 operations were successfully completed. The follow-up was 13-25 (mean 15.2±4.6) months, operation time (47.0±11.1) minutes, hospital stay (0.8± 0.2) days, and pain duration (6.1±4.9) days. One year after surgery, all patients'NRS, IIQSF-7 and UDI-6 scores were significantly reduced (P<0.001). One week after surgery, all patients were improved. No sling exposure or urinary tract infection was found during the follow-up. Conclusion Biomaterial sling is an effective and relatively safe method for the treatment of female SUI, demonstrating satisfactory short-term outcomes. However, the long-term effects still need further research.

Objective:To investigate the alterations of individual metabolic brain network properties in patients with mild cognitive impairment (MCI) and their correlations with cognitive function.Methods:One hundred and five participants from Alzheimer's Disease Neuroimaging Initiative (ADNI) database enrolled from March 2012 to February 2016 were chosen, including 61 MCI patients and 44 normal controls (NC). Cognitive assessments, including mini-mental state examination (MMSE), auditory verbal learning test (AVLT), trail making test (TMT), and semantic verbal fluency (SVF) score, were performed in both groups; differences of above scores and clinical data between the participants from the two groups were compared. T1-weighted imaging and fluorodeoxyglucose positron emission tomography (FDG-PET) images were collected in both groups; individual metabolic brain networks were constructed based on differences in effect sizes between brain regions and network properties were calculated. Spatial correlation analysis was used to compare the correlations of metabolic brain networks at the individual and group levels. General linear model was employed to compare the differences in network properties between the two groups. Partial correlation analysis was used to examine the correlations of differential network properties with cognitive function in MCI patients. A support vector machine (SVM) classification model was constructed based on individual metabolic brain network properties, and receiver operating characteristic (ROC) curve was used to explore the diagnostic value of this SVM classification model in MCI.Results:(1) Compared with the NC group, the MCI group had significantly lower MMSE and AVLT-immediate recall scores, and longer TMT-A completion time ( P<0.05). (2) Spatial correlation analysis revealed a positive correlation between individual metabolic brain networks and group-level metabolic brain networks in patients of the MCI group ( r=0.825, P<0.001). No significant differences in global network properties were noted between the two groups ( P>0.05). Compared with the NC group, the MCI group significantly decreased degree centrality in the left A8vl, right A39c, and right V5/MT+ regions, increased degree centrality in the left anterior cuneus, decreased nodal efficiency in the left A8vl, right V5/MT+, and right caudal hippocampus regions, increased nodal shortest path length and nodal clustering coefficient in the left A8vl region ( P<0.05). (3) The degree centrality at the A8vl of ventral part of the left middle frontal gyrus and nodal efficiency in right caudal hippocampus region were positively correlated with AVLT-immediate recall scores ( r=0.331, P=0.010; r=0.282, P=0.030), nodal efficiency in the left A8vl region was negatively correlated with TMT-A completion time ( r=-0.470, P<0.001), and nodal efficiency in the left A8vl region was positively correlated with SVF score ( r=0.263, P=0.044). (4) Area under the curve of SVM classification model in diagnosing MCI was 0.880 (95% CI: 0.813-0.945, P<0.001), with an accuracy rate of 0.790. Conclusions:Patients with MCI have alterations in individual metabolic brain network properties, among which the degree centrality and nodal efficiency of some nodes are closely related to cognitive function changes. Models constructed based on individual metabolic brain network properties can help to effectively diagnose MCI.

Objective:To investigate the interactive effects of loss of the only child and childhood trauma on brain structure, function, and structure-function coupling, and to analyze their association with clinical symptom.Methods:A total of 112 parents who lost their only child and participated in the psychological aid project organized by Local Civil Affairs Department in Sunan aear of Jiangsu Province in China from April 2021 to July 2021 and 36 healthy controls recruited from the community during the same period were selected. Based on childhood trauma questionnaire scores, parents who had lost their only child were divided into those with childhood trauma (group A, n=55) and those without childhood trauma (group B, n=57); similarly, the healthy controls were divided into a group with childhood trauma (group C, n=12) and a group without childhood trauma (group D, n=24). All participants were evaluated by clinical scales such as Hamilton Depression Scale (HAMD), Hamilton Anxiety Scale (HAMA), and Mini-Mental State Examination (MMSE). MRI 3D-T1 structural images and resting-state functional magnetic resonance imaging data were collected; gray matter volume (GMV) and degree centrality (DC) were calculated by standardized image preprocessing procedure, and ratio of DC to GMV within each voxel was computed to obtain the structure-function coupling map. A two-factor analysis of variance was used to analyze the independent effect and interactive effect of loss of the only child and childhood trauma on GMV, DC, and DC/GMV coupling value. Spearman rank correlation analysis was used to evaluate the associations of above indicators in brain regions with significant difference in independent effect and interactive effect with clinical scale scores. Results:(1) Compared with the participants without childhood trauma (group B+group D), the participants with childhood trauma (group A+group C) showed significantly reduced GMV in the left middle temporal gyrus and right dorsolateral superior frontal gyrus (voxel-level P<0.01, cluster-level P<0.05, Gaussian random field [GRF] corrected). A significant interactive effect of loss of the only child and childhood trauma on GMV in the right precuneus was observed (voxel-level P<0.01, cluster-level P<0.05, GRF corrected). (2) Compared with the healthy controls, parents who had lost their only child exhibited significantly increased DC in the left middle frontal gyrus (voxel-level P<0.01, cluster-level P<0.05, GRF corrected). Compared with participants without childhood trauma, participants with childhood trauma showed significantly increased DC in the right thalamus (voxel-level P<0.01, cluster-level P< 0.05, GRF corrected). A significant interactive effect of loss of the only child and childhood trauma on DC in the left dorsolateral superior frontal gyrus was observed (voxel-level P<0.01, cluster-level P<0.05, GRF corrected). (3) Compared with the healthy controls, parents who had lost their only child showed significantly decreased DC/GMV coupling value in the left middle frontal gyrus (voxel-level P<0.01, cluster-level P<0.05, GRF corrected). Compared with participants without childhood trauma, participants with childhood trauma showed significantly increased DC/GMV coupling value in the right thalamus (voxel-level P<0.01, cluster-level P<0.05, GRF corrected). A significant interactive effect of loss of the only child and childhood trauma on DC/GMV coupling value in the left dorsolateral superior frontal gyrus was observed (voxel-level P<0.01, cluster-level P<0.05, GRF corrected). (4) Correlation analysis revealed that GMV in the right precuneus with significant interactive effect of loss of the only child and childhood trauma was positively correlated with MMSE score ( r s=0.317, P=0.010, Bonferroni corrected). GMV in the left middle temporal gyrus with significant independent effect of childhood trauma was positively correlated with both HAMD score and HAMA score ( r s=0.362, P=0.006; r s= 0.349, P=0.008, Bonferroni corrected). Conclusion:Loss of the only child and childhood trauma can interact to jointly affect the brain structure, function, and structure-function coupling; and some of these brain structure alterations are closely associated with clinical symptoms.

Objective:To investigate the heterogeneity of tumor density-enhancement complex (TDEC) based on MRI parameters in predicting the treatment response and prognosis for recurrent glioblastoma (rGBM) to guide the formulation of personalized clinical treatment strategies.Methods:A prospective cohort study was performed; 66 patients with postoperative rGBM were enrolled from Department of Neurosurgery, Affiliated Hospital of Jiangsu University. Multi-sequence MRI was performed, and diffused and enhanced data of the rGBM were utilized to construct TDEC as intratumoral sub-regions via pixel co-localization technique. Correlations among rGBM with different volume proportions of TDEC types and correlations of rGBM with different volume proportions of TDEC types with rGBM volume were analyzed in rGBM after bevacizumab (BEV) combined with radiotherapy. A pixel co-localization decoupling method was applied to assess the treatment response efficiency in individual TDEC subcomponents. The rGBM imaging phenotypes were identified through unsupervised clustering analysis, and progression-free survival (PFS) and overall survival (OS) between patients with different phenotypes were compared. The predictive value of TDEC heterogeneity in PFS and OS of rGBM patients under BEV plus radiotherapy was assessed. Results:Four distinct TDEC sub-regions (TDEC1-4) were identified; a significant negative correlation was observed between volume proportions of TDEC2 and TDEC3 ( r s=-0.558, P<0.001), as well as between volume proportions of TDEC3 and TDEC4 ( r s=-0.782, P<0.001), while TDEC composition (volume proportions of TDEC2-4) showed no significant correlation with tumor volume ( P>0.05). Following BEV combined with radiotherapy, significant sub-region-specific TDEC volume changes were observed (tumor volume minification rate of TDEC1[ΔV TDEC1]: 16.7% [13.8%, 20.1%]; ΔV TDEC2: 25.4% [21.9%, 29.0%]; ΔV TDEC3: 27.6% [23.5%, 31.2%]; ΔV TDEC4: 8.4% [6.1%, 10.7%], P<0.05); volume proportion of TDEC3 was positively correlated with tumor volume minification ( r s=0.702, P<0.001), whereas volume proportion of TDEC4 was negatively correlated tumor volume minification ( r s=-0.933, P<0.001). The volume reduction of TDEC1-3 was driven by combined effects of tumor cellular and enhancement components, while volume reduction of TDEC4 was primarily attributed to changes in tumor cellularity (ΔV ADC: 9.3%; ΔV T1C: 0.8%). Two distinct TDEC phenotypes with different survival outcomes were identified in rGBM patients (silhouette coefficient=0.584; TDEC type I: n=23; type II: n=43); significant difference in PFS and OS was noted between patients with TDEC type I and type II (PFS: χ2=11.191, P=0.001; OS: χ2=9.733, P=0.002). TDEC phenotype was an independent influencing factor for survival of rGBM patients under BEV combined with radiotherapy (PFS: HR=2.738, 95% CI: 1.815-3.938 , P=0.003; OS: HR=2.507, 95% CI: 1.851-3.660, P=0.007). Conclusion:TDEC sub-region helps efficiently characterize the rGBM heterogeneity; rGBM imaging phenotypes identified based on TDEC sub-region can independently predict the clinical outcomes: the prognosis of TDEC type I patients is better than that of TDEC type II patients.

Objective:To investigate the differences in hippocampal subfield volumes and structural covariance network properties among patients with mild cognitive impairment (MCI) exhibiting different cognitive outcomes and normal controls (NCs), and to further evaluate the predictive value of these imaging indicators for cognitive deterioration in MCI patients.Methods:A total of 43 NCs, 65 stable MCI (sMCI), and 26 progressive MCI (pMCI) patients enrolled in the Alzheimer′s Disease Neuroimaging Initiative (ADNI) database between December 2012 and May 2016 were included in this study. Baseline demographic information and T 1-weighted magnetic resonance imaging scans were collected. Hippocampal subfield volumes were extracted using freesurfer software, and structural covariance networks of hippocampal subfields were constructed. Multivariate analysis of covariance was used to compare hippocampal subfield volumes among the 3 groups. A general linear model was applied to examine group differences in hippocampal subfield structural covariance network properties. Least absolute shrinkage and selection operator (LASSO)-Logistic regression was employed to identify imaging predictors associated with conversion to Alzheimer′s disease (AD), based on which structural, network-based, and combined predictive models were constructed. Model discrimination was evaluated using the area under the curve (AUC); internal validation was performed using Bootstrap resampling; model calibration was assessed with the Hosmer-Lemeshow test; and clinical utility was evaluated through decision curve analysis. Results:Significant differences in hippocampal subfield volumes (mm3) were observed among the 3 groups (all P<0.05, Bonferroni-corrected). Specifically, left parasubiculum (65.58±13.30, 61.96±17.56, 49.56±11.82, F=9.900), right parasubiculum (65.92±15.21, 59.45±16.65, 47.69±15.48, F=11.612), left presubiculum (277.09±39.85, 258.15±44.86, 224.05±45.05, F=14.513), right presubiculum (262.85±40.43, 247.41±43.27, 209.97±46.11, F=14.500), left subiculum (399.66±32.19, 374.25±55.83, 306.12±51.62, F=32.923), right subiculum (417.93±48.92, 376.59±51.01, 316.82±70.22, F=28.764), left cornu ammonis 1 (CA1) (592.10±83.87, 561.96±94.72, 490.06±86.89, F=13.352), right CA1 (632.15±100.09, 601.24±88.88, 531.05±110.29, F=10.579), left CA3 (191.58±30.08, 180.47±34.66, 155.08±37.82, F=12.182), right CA3 (210.42±28.92, 203.84±34.80, 176.69±41.47, F=9.597), left CA4 (224.61±28.94, 210.49±35.04, 183.98±36.89, F=16.521), right CA4 (238.49±28.14, 227.43±30.65, 200.23±42.74, F=13.702), left granule cell-molecular layer-dentate gyrus (GC-ML-DG) (259.96±36.76, 239.42±41.17, 207.61±41.84, F=19.831), right GC-ML-DG (273.98±35.12, 258.79±36.82, 227.81±49.07, F=14.204), left molecular layer (505.62±66.16, 468.58±75.17, 402.68±75.47, F=22.293), right molecular layer (527.39±72.39, 493.14±70.39, 423.81±88.09, F=19.588), left hippocampal amygdala transition area (HATA) (54.91±9.99, 49.52±9.93, 43.27±9.59, F=13.571), right HATA (58.43±9.83, 54.55±10.80, 47.12±12.54, F=10.037), left fimbria (69.94±25.04, 56.63±23.74, 40.58±19.83, F=14.846), right fimbria (68.61±26.24, 53.95±23.16, 45.25±17.04, F=10.424), left hippocampal tail (488.37±83.44, 463.54±80.33, 393.83±77.73, F=13.570), and right hippocampal tail (519.78±80.22, 498.84±81.68, 419.75±93.29, F=14.339) all showed significant group differences. Significant group differences were also observed in small-worldness metric γ (0.51±0.10, 0.51±0.08, 0.62±0.14, F=9.317), small-worldness metric λ (0.39±0.02, 0.39±0.02, 0.43±0.04, F=9.925), global efficiency (0.19±0.01, 0.20±0.01, 0.18±0.01, F=3.189), local efficiency (0.26±0.02, 0.26±0.01, 0.27±0.01, F=3.068), clustering coefficient (0.23±0.01, 0.23±0.01, 0.24±0.02, F=4.274), and characteristic path length (0.73±0.06, 0.72±0.06, 0.76±0.07, F=4.477) of the hippocampal subfield structural covariance network (all P<0.05). Specifically, the pMCI group exhibited higher γ ( t=3.773, P<0.001), λ ( t=4.060, P<0.001), local efficiency ( t=2.445, P=0.047), and clustering coefficient ( t=2.849, P=0.015) than the NCs group, and higher γ ( t=4.074, P<0.001), λ ( t=4.068, P<0.001), and characteristic path length ( t=2.986, P=0.010) but lower global efficiency ( t=-2.444, P=0.047) than the sMCI group. The AUC of the structural, network, and combined models based on LASSO-Logistic regression was 0.837, 0.861, and 0.899, respectively. After internal validation, the corrected AUC was 0.835, 0.855, and 0.889, respectively. All models demonstrated good calibration ( P>0.05), and decision curve analysis indicated favorable clinical net benefit across models. Conclusions:Both sMCI and pMCI patients exhibit widespread hippocampal subfield atrophy and altered global properties of hippocampal subfield structural covariance networks compared to NCs. The models constructed based on hippocampal subfield volumes and structural covariance networks show strong potential for predicting cognitive decline in MCI patients.

Objective Through studying the chemical composition changes before and after the compatibility of Hedysari Radix Paeparata Cum Melle(HRPCM)-vinegar processed Curcumae Rhizoma(VPCR);To discuss the significance of the compatibility of HRPCM and VPCR;To establish the fingerprints before and after their compatibility.Methods ZORBAX Eclipse Plus C18 column was used;acetonitrile-0.01%phosphoric acid water was set as mobile phase,with gradient elution;column temperature was 30℃;detection wavelength was 214 nm;sample injection was 10 μL,which was used to investigate the content difference of major chemical components such as vanillic acid,calycosin-O-β-D-glucopyranoside,ononin,calycosin,onocerin,curdione,cincumol and germacrone,and establish the fingerprint of HRPCM,VPCR and HRPCM-VPCR.Results HPLC chromatographic conditions were established for the determination of 8 components in HRPCM-VPCR.Meanwhile,fingerprints were established before and after the compatibility of HRPCM-VPCR.26 common peaks were identified,among which 11 components such as vanillic acid were derived from HRPCM,14 components such as curcuma zedoariae were derived from VPCR,and 1 component was shared by both.Conclusion The material basis of the compatibility of HRPCM-VPCR differs from that of HRPCM and VPCR.The content of most chemical components decreases while the content of some components increases.The established HPLC method for content determination and fingerprint is simple,stable and reproducible,which can be used to evaluate and control the quality of HRPCM and VPCR.

Objective:To analyze the differentially expressed messenger RNA(mRNA), microRNA(miRNA), and long non-coding RNA(lncRNA)during the browning of mouse subcutaneous adipose tissue, construct a competitive endogenous RNA(ceRNA)network, and provide a theoretical basis for investigating the regulatory mechanisms of white adipose tissue browning.Methods:A cold-stimulated mouse model was established for transcriptome sequencing.Bioinformatics tools were employed to screen for differentially expressed mRNAs, miRNAs, and lncRNAs.An integrated mRNA-miRNA-lncRNA analysis was performed to construct a ceRNA network.Gene Ontology(GO), Kyoto Encyclopedia of Genes and Genomes(KEGG), and Gene Set Enrichment Analysis(GSEA)were conducted on the differentially expressed mRNAs and ceRNA networks to explore transcriptional regulation during the cold-induced browning of subcutaneous adipose tissue.Results:Transcriptomic analysis of the cold-stimulated model identified 4, 256 differentially expressed RNAs, which include 3, 600 mRNAs, 588 lncRNAs, and 68 miRNAs.GO and KEGG analyses revealed that the browning of white adipose tissue involves immune-related processes, such as immune system processes, immune responses, adaptive and innate immune responses, and the positive regulation of T-cell activation.A ceRNA network associated with browning regulation was constructed, comprising 233 nodes(188 mRNAs, 34 miRNAs, and 11 lncRNAs)and 351 edges.Protein-protein interaction(PPI)analysis of the mRNAs within the ceRNA network highlighted pathways including apoptosis, intracellular signaling transduction, hypoxia-inducible factor-1(HIF-1), AMP-activated protein kinase(AMPK), Janus kinase-signal transducer and activators of transcription(JAK-STAT)signaling, carbon metabolism, glycolysis, and thyroid hormone pathways, all of which regulate lipid metabolism, hypoxia, and glycolysis.Cytohubba analysis identified the top 10 hub genes: Bcl2, Src, Cebpb, Creb1, Runx1, Foxo3, Ets1, Socs3, Slc2 a4, and Pkm. Conclusions:The ceRNA network that regulates the browning of white adipose tissue is involved in various pathways, including carbon metabolism, glycolysis, thyroid hormone signaling, growth hormone signaling, prolactin signaling, as well as the HIF-1, AMPK, and JAK-STAT pathways.Key regulatory miRNAs in this context include miR-30e-5p, miR-182-5p, miR-20b-5p, miR-144-3p, miR-363-3p, miR-141-3p, miR-203-3p, and miR-107-3p.These miRNAs may serve as critical targets for inducing browning in response to cold exposure.